Towards practical `neural' computation for combinatorial optimization problems
AIP Conference Proceedings 151 on Neural Networks for Computing
A projection method for lp norm location-allocation problems
Mathematical Programming: Series A and B
A new adaptive multi-start technique for combinatorial global optimizations
Operations Research Letters
A polynomial time dual algorithm for the Euclidean multifacility location problem
Operations Research Letters
Heuristic Methods for Large Centroid Clustering Problems
Journal of Heuristics
An Efficient Neural Network Algorithm for the p-Median Problem
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
New stochastic models for capacitated location-allocation problem
Computers and Industrial Engineering
Cooperative Parallel Variable Neighborhood Search for the p-Median
Journal of Heuristics
Genetic subgradient method for solving location-allocation problems
Applied Soft Computing
Logistics distribution centers location problem and algorithm under fuzzy environment
Journal of Computational and Applied Mathematics
Modeling capacitated location-allocation problem with fuzzy demands
Computers and Industrial Engineering
Computers & Mathematics with Applications
Region-rejection based heuristics for the capacitated multi-source Weber problem
Computers and Operations Research
Computers and Operations Research
A guided reactive GRASP for the capacitated multi-source Weber problem
Computers and Operations Research
Single-Source Capacitated Multi-Facility Weber Problem-An iterative two phase heuristic algorithm
Computers and Operations Research
A new heuristic for solving the p-median problem in the plane
Computers and Operations Research
Heuristics for the single source capacitated multi-facility Weber problem
Computers and Industrial Engineering
Beam search heuristics for the single and multi-commodity capacitated Multi-facility Weber Problems
Computers and Operations Research
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Good heuristic solutions for large multisource Weber problems can be obtained by solving related p-median problems in which potential locations of the facilities are users locations and then solving Weber problems for the sets of users of each facility. Resume De bonnes solutions heuristiques pour des problemes de Weber Multisources de grande taille peuvent etre obtenues en resolvant des problemes de p-mediane correspondants ou les localisations potentielles des facilites sont les localisations des usagers puis en resolvant des problemes de Weber pour les ensembles d'usagers de chaque facilite.